Data Ingestion Engineer(m/w/x)

| | | --- | | **With whom you will CELLebrate** | | The mission has started. We proudly announce that in our Battery Valley we are starting our own battery cell production and the ramp up of our worldwide headquarters for global cell manufacturing. In this, the tasks and requirements of the unit Information Technology are varied. IT takes care all matters relating to information technology, i.e. electronic data processing. The responsibilities vary from IT-infrastructure to digitization of the organization to the operational use of electronic data processing throughout the organization. | | **How you will CELLebrate** | | * Responsibility for realizing Data Products, in cooperation with the Product Owner and Cloud Data Architect * Align with the Data Producers and provide data access to the Data Consumers * Designing and implementing data pipelines, data storage and data processing solutions * Ensuring the scalability, security and availability of the data infrastructure * Collaboration with data architects and cross-functional teams to understand business requirements and develop data-driven solutions * Collaboration with software developers, data analysts and power BI developers to implement appropriate data products * Optimizing the performance and scalability of the data infrastructure | | **What you need for our CELLebration** | | * Bachelor's or Master's degree in Computer Science, Information Systems or related field * Excellent knowledge of programming languages such as Python or Java as well as knowledge of data query languages like SQL * Experience with ETL and ELT processes and excellent knowledge of data warehousing, data pipeline and data processing technologies * Several years experience with cloud platforms, e.g. Azure * Experience connecting the metadata of e.g. Informatica MDM with the Data on Azure. * Experience with big data technologies like Hadoop, Spark * Knowledge on DevOps methodologies and tooling * Experience working in an agile environment (Scrum/ KANBAN/ SAFe) * Strong technical focus and willingness to continuously develop knowledge * Fluent in German and English | | **What else can you bring** | | * Experience with containerization and container orchestration technologies such as Docker and Kubernetes is a plus * Certifications such as AWS Data Engineering, Azure Data Engineering, or GCP Data Engineering is a plus | | **What to look forward to** | | * Flexible working hours from 28 to 40h per week * Possibility of a 4-day-week (up to 35h per week) * 30 days paid + 10 days unpaid leave * Mobile work options * Relocation support * More benefits to come |